This paper highlights the use of nanoprobing as a crucial and fast methodology for failure analysis (FA) in sub 20nm with an improved semi-auto nanoprobing system. Nanoprobing has the capability to localize as well as characterize the electrical behavior of the malfunctioning device for a better understanding of the failure mechanism. It provides a valuable guide to choose a proper physical FA technique to identify the root cause of the failure. This established methodology helps to accelerate the FA turnaround time and improve the success rate. Its application to a few of the front end of line and one back end of line issues is highlighted in the paper.
With rapid scaling of semiconductor devices, new and more complicated challenges emerge as technology development progresses. In SRAM yield learning vehicles, it is becoming increasingly difficult to differentiate the voltage-sensitive SRAM yield loss from the expected hard bit-cells failures. It can only be accomplished by extensively leveraging yield, layout analysis and fault localization in sub-micron devices. In this paper, we describe the successful debugging of the yield gap observed between the High Density and the High Performance bit-cells. The SRAM yield loss is observed to be strongly modulated by different active sizing between two pull up (PU) bit-cells. Failure analysis focused at the weak point vicinity successfully identified abnormal poly edge profile with systematic High k Dielectric shorts. Tight active space on High Density cells led to limitation of complete trench gap-fill creating void filled with gate material. Thanks to this knowledge, the process was optimized with “Skip Active Atomic Level Oxide Deposition” step improving trench gap-fill margin.
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